Browsing by Author "Hanumanthappa, S.N."

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    Machinability studies on EN47 spring steel by optimization technique during dry and wet condition
    (2019) Mallesha, V.; Hanumanthappa, S.N.; Badiger, P.V.; Mahesh, V.
    EN47 Spring steel is a hard material having a hardness of 45-48HRC. EN47 material possesses low thermal conductivity and suitable for oil hardening and tempering. Hardened spring steel offers excellent toughness and shock resistance, suitable alloy for automobile applications. In this experimental study, to optimize the process parameters such as cutting speed (Vc), feed rate (f) and depth of cut (ap). In order to minimize the surface roughness (Ra), tool tip temperature (T) and tangential cutting force (Fz) during turning of spring steel by coated tungsten carbide cutting tool insert under dry and wet condition. Experiments are conducted based on the design of experiment using full factorial design (33: three factors and three levels) L27 orthogonal array. From the experimental work, result reveals that surface roughness (Ra) influenced by (Vc and f). Tangential cutting force (Fz) influenced by (f and ap). Tool tip temperature influenced by (Vc and ap). The comparison have been done between dry and wet condition and the results reveal that under wet condition surface roughness (Ra) and tool tip temperature (T) is reduced by 22.59% and 21.29% respectively. Less difference was observed in cutting force (Fz) during dry and wet machining. International Journal of Modern Manufacturing Technologies.
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    Machinability studies on EN47 spring steel by optimization technique during dry and wet condition
    (ModTech Publishing House office@hotelfloramamaia.ro, 2019) Mallesha, V.; Hanumanthappa, S.N.; V Badiger, P.V.; Mahesh, V.
    EN47 Spring steel is a hard material having a hardness of 45-48HRC. EN47 material possesses low thermal conductivity and suitable for oil hardening and tempering. Hardened spring steel offers excellent toughness and shock resistance, suitable alloy for automobile applications. In this experimental study, to optimize the process parameters such as cutting speed (Vc), feed rate (f) and depth of cut (ap). In order to minimize the surface roughness (Ra), tool tip temperature (T) and tangential cutting force (Fz) during turning of spring steel by coated tungsten carbide cutting tool insert under dry and wet condition. Experiments are conducted based on the design of experiment using full factorial design (33: three factors and three levels) L27 orthogonal array. From the experimental work, result reveals that surface roughness (Ra) influenced by (Vc and f). Tangential cutting force (Fz) influenced by (f and ap). Tool tip temperature influenced by (Vc and ap). The comparison have been done between dry and wet condition and the results reveal that under wet condition surface roughness (Ra) and tool tip temperature (T) is reduced by 22.59% and 21.29% respectively. Less difference was observed in cutting force (Fz) during dry and wet machining. © International Journal of Modern Manufacturing Technologies.
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    Study and Experimental Investigation of the Effect of Progressive Feed Rate on Surface Roughness in CNC End Milling Process Using RSM
    (International Information and Engineering Technology Association, 2022) Bommisetty, S.R.; Chettu, K.B.; Hanumanthappa, S.N.
    The objective of this research work is to investigate the influence of cutting parameters on the average surface roughness (Ra) in an end milling process. Feed rate if). Spindle speed (s) and Depth of cut (d) are the cutting parameters considered as significant factors. A case study on the progressive feed (PF) and conventional constant feed (CF) machining characteristics of Aluminum alloy BS L168-T6511 using end milling is considered. Taguchi's design of experiments (DoE) technique is applied for various combinations of cutting factors and average surface roughness was measured using Mitutoyo surftest SJ-301 surface roughness tester. The experimental results of Ra are analyzed by response surface methodology (RSM). The predicted values using the developed regression mathematical model are compared against experimental results and were found in close agreement. ANOVA technique was applied to further analyze the data for checking the model adequacy and to predict the influence of each parameter on output response Ra. Main effect plots. Interaction plots. 3D surface plots, and Contour plots are established. The investigation reveals that output response (Ra) is predominantly affected by feed rate and progressive feed machining (PFM) yields better surface finish than the conventional constant feed machining (CFM) for the end milling. © 2022 Lavoisier. All rights reserved.